This page is a documentation of different projects I have worked on related to ML, from Artificial Intelligence to Neural Networks. I keep projects I worked on/chose to work on either for class or by myself.
I am taken courses regarding the following concepts:
- Linear / Non-linear Regression
- Naive Bayes
- K Nearest Neighbor
- Kmeans
- Perceptrons
- Decision Trees
- Monte Carlo Estimation
- Gradient Descent
- Hopfield Networks
- Convolutional Neural Networks
For my final project of Intro To Computational Neuroscience with Richard Granger, I implemented the CSL model from his paper “Derivation of a novel efficient supervised learning algorithm from cortical-subcortical loops.”
I am currently working with Professor Granger on my thesis in Computer Science. We are deriving a novel Neural Network based upon binary logic.